The emergence of Large Language Models creates unprecedented opportunities for embodied cognitive encounter that transcends traditional human-technology boundaries. This phenomenological investigation explores “exformative dialogue”—intensive human-AI engagement that surfaces implicit patterns of being-in-the-world, ultimately enabling new possibilities for action and agency through affective-cognitive integration. Through detailed phenomenological analysis of two contrasting modalities of human-AI encounter—individual intensive engagement and collaborative partnership—we investigate how sustained dialogue creates conditions for what Merleau-Ponty terms “motor intentionality,” where understanding emerges through embodied interaction rather than detached cognition. Our investigation reveals that exformative dialogue operates through embodied cycles of externalization, recognition, and integration that dissolve traditional cognitive-affective boundaries, manifesting as affective pattern emergence, embodied scaffolding, and action crystallization. These structures enable enacted agency through embodied recognition, challenging cognitive enhancement paradigms by revealing AI partnership as fundamentally about becoming capable of action rather than improving information processing.